Update app.py

app.py

@@ -2,12 +2,14 @@ import gradio as gr
 import os
 from openai import OpenAI
 
+# 从环境变量读取API密钥
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-openai_client = OpenAI(api_key=OPENAI_API_KEY)
-def generate_response(prompt,model,temperature, top_p, max_tokens, repetition_penalty):
+openai_client = OpenAI(api_key=OPENAI_API_KEY)  # 修正这里！
+
+def generate_response(prompt, model_provider, temperature, top_p, max_tokens, repetition_penalty):
     try:
         response = openai_client.chat.completions.create(
-            model="gpt-3.5-turbo",  # or another model of your choice
+            model="gpt-3.5-turbo",
             messages=[{"role": "user", "content": prompt}],
             temperature=temperature,
             top_p=top_p,
@@ -17,19 +19,19 @@ def generate_response(prompt,model,temperature, top_p, max_tokens, repetition_pe
         )
         return response.choices[0].message.content.strip()
     except Exception as e:
-        return f"OpenAI API Error: {str(e)}"
+        return f"OpenAI API错误: {str(e)}"
 
 iface = gr.Interface(
     fn=generate_response,
     inputs=[
-        gr.Textbox(label="Prompt", lines=6, placeholder="Ask something..."),
-        gr.Slider(minimum=0.1, maximum=1.5, value=0.7, step=0.1, label="Temperature"),
+        gr.Textbox(label="输入提示", lines=6, placeholder="在这里输入问题..."),
+        gr.Slider(minimum=0.1, maximum=1.5, value=0.7, step=0.1, label="温度 (Temperature)"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-p"),
-        gr.Slider(minimum=32, maximum=2048, value=512, step=32, label="Max New Tokens"),
-        gr.Slider(minimum=1.0, maximum=2.0, value=1.1, step=0.1, label="Repetition Penalty")
+        gr.Slider(minimum=32, maximum=2048, value=512, step=32, label="最大生成长度 (Max Tokens)"),
+        gr.Slider(minimum=1.0, maximum=2.0, value=1.1, step=0.1, label="重复惩罚 (Repetition Penalty)")
     ],
     outputs="text",
-    title="🧠 DeepSeek LLM Chat with Parameter Tuning",
+    title="🧠 DeepSeek LLM 聊天演示（参数可调）",
     theme=gr.themes.Soft()
 )